Diamond prices – data collection and preparation

Great! The project, together with your proposed solution, has been approved and now it is time for the second phase in the predictive analytics process: data collection and preparation. Finally, it's time for us to get our hands dirty!

As mentioned in the first chapter, the data collection process is entirely dependent on the project. Sometimes you will need to get the data yourself using some extract, transform, load (ETL) technologies, sometimes you will need access to some internal database, or you may get access to external data via services such as Bloomberg or Quandl, from public APIs, and so on. The point is that this process is so unique to any predictive analytics project that we won't ...

Get Hands-On Predictive Analytics with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.